Enhancing cyclist safety in cyclist-vehicle interactions through early hazard notifications: a comparison of bi-modal cues at head level

Authors

DOI:

https://doi.org/10.55329/bodb6366

Keywords:

accident prevention, augmented reality, bi-modal notification, connected traffic, cyclist safety, hazard notifications, head-mounted display, vulnerable road users

Abstract

Cyclists frequently face numerous hazards on the road. Often those hazards are posed by motorised vehicles. Advanced support systems that alert cyclists to potential dangers could enhance their safety. However, research in this area, particularly regarding hazard notifications for cyclists, remains sparse. This work assesses bi-modal early hazard notification concepts (combining visual cues with either auditory or tactile feedback) provided at head level (smart glasses with speakers, tactile headband). They are detailing the nature of the hazard, its direction relative to the cyclist, and the timing of exposure. This work investigates cyclists' preference and perception of the proposed concepts for two hazardous situations originating from interactions with vehicles: ‘dooring’, the hazard of a potential collision with an opening door of a parked vehicle (evaluated through a test track study, N = 32) and ‘being overtaken’ which poses the hazard of being cut off or hit by the overtaking vehicle (assessed in a bicycle simulator study, N = 21). The study involved comparisons of supported and unsupported rides, focusing on their impact on usability, intuitiveness, workload, and perceived safety. Our findings reveal varied preferences for the supporting feedback modality, with 56% favouring visual-auditory and 31% visual-tactile. The participants rated user experience, intuitiveness and perceived safety for the use of both concepts quite high. Further, the workload for assisted rides was rated as equally low as for unassisted rides.

Downloads

Download data is not yet available.

Author Biographies

Tamara von Sawitzky, Technische Hochschule Ingolstadt, Germany | Johannes Kepler University Linz, Austria

Tamara von Sawitzky is a research assistant at Technische Hochschule Ingolstadt and a doctoral candidate at Johannes Kepler University Linz. Her research focuses on improving cyclist safety through hazard notifications delivered through smart bicycle helmets or glasses, based on future connected transportation technologies. In particular, she focuses on the design of these notifications and their impact on cyclist behaviour.

CRediT contribution: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing—original draft.

Andreas Löcken, Technische Hochschule Ingolstadt, Germany

Andreas Löcken is a postdoctoral HCI researcher at the Technische Hochschule Ingolstadt (THI) and the CARISSMA Institute of Automated Driving (C-IAD). His current research focuses on the interaction between automated vehicles and humans, including the perspectives of passengers in the vehicle and vulnerable road users, such as cyclists, outside the vehicle.

CRediT contribution: Conceptualization, Methodology, Validation, Writing—original draft.

Thomas Grauschopf, Technische Hochschule Ingolstadt, Germany

Thomas Grauschopf is a professor for Operating Systems and Applied Computer Science at Technische Hochschule Ingolstadt (THI). He heads the Laboratory for Virtual Reality and Simulation there. His areas of interest and research include not only enhancing traffic safety but also multi-user and collaborative VR scenarios.

CRediT contribution: Conceptualization, Funding acquisition, Resources, Supervision, Writing—review & editing.

Andreas Riener, Technische Hochschule Ingolstadt, Germany

Andreas Riener is a professor for Human-Machine Interaction and Virtual Reality at Technische Hochschule Ingolstadt (THI), Germany with co-appointment at the CARISSMA Institute for Automated Driving (C-IAD). He is further leading the human-computer interaction group (HCIG) at THI, where several (VR) driving simulators are operated. His research interests include human factors-related topics in future mobility scenarios.

CRediT contribution: Conceptualization, Resources, Supervision, Writing—review & editing.

References

Albrecht, R., R. Väänänen, T. Lokki (2016), 'Guided by music: pedestrian and cyclist navigation with route and beacon guidance', Personal and Ubiquitous Computing, 20, 121–145.

Bengler, K., K. Dietmayer, B. Farber, M. Maurer, C. Stiller, H. Winner (2014), 'Three Decades of Driver Assistance Systems: Review and Future Perspectives', IEEE Intelligent Transportation Systems Magazine, 6(4), 6–22.

Bergh, D. van den, J. van Doorn, M. Marsman, T. Draws, E.-J.-van Kesteren, K. Derks, F. Dablander, Q. F. Gronau, Š. Kucharský, A. R. K. N. Gupta, A. Sarafoglou, J. G. Voelkel, A. Stefan, A. Ly, M. Hinne, D. Matzke, E.-J. Wagenmakers (2020), 'A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP', L’Année psychologique, 120, 73–96.

Downloads

Published

2024-11-13

How to Cite

von Sawitzky, T., Löcken, A., Grauschopf, T., & Riener, A. (2024). Enhancing cyclist safety in cyclist-vehicle interactions through early hazard notifications: a comparison of bi-modal cues at head level. Traffic Safety Research, 7, e000070. https://doi.org/10.55329/bodb6366